At CarTechIQ, we know success and profitability in today’s business environment is driven by accurate repair estimates and efficient vehicle repairs. That is why we have developed AI technology and patent-pending normalization processes to provide most probable repair scenarios based on DTCs, symptoms, recalls, and empirical data. This empowers technicians to make more informed decisions and improve efficiency for successful outcomes.

With PredictaFix™, stay ahead of the competition by providing the most accurate and efficient repair solutions, increasing profitability and customer satisfaction.

Key Features:

API Access: Seamlessly integrate PredictaFix with your existing systems through our robust API, allowing for a smooth and efficient data exchange.

1 Code to Probable Repair(s): Enter in 1 DTC code and a vehicle to find out the most probable solutions to that problem.

Multiple Codes to Probable Repair(s): Enter in multiple DTC codes and a vehice to find out the most probable solutions.

Issue Grouping: Multiple codes are grouped into distinct issues to support a technician’s diagnosis of the vehicle.

Probability Score: A score is provided for each Probable Solution to support a technician’s focus during the repair of the vehicle.